R. Carrillo

发表

Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

Angelo Arleo, Eduardo Ros, Richard R. Carrillo, 2019, PLoS Comput. Biol..

Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Eduardo Ros, Jesús Alberto Garrido, Egidio D'Angelo, 2016, Front. Comput. Neurosci..

Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

Eduardo Ros, Jesús Alberto Garrido, Egidio D'Angelo, 2014, Front. Comput. Neurosci..

Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IEEE Transactions on Neural Networks.

Cerebellar spiking engine: Towards objet model abstraction in manipulation

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Real-time computing platform for spiking neurons (RT-spike)

Eduardo Ros, Rodrigo Agís, Richard R. Carrillo, 2006, IEEE Trans. Neural Networks.

Event-driven simulation of neural population synchronization facilitated by electrical coupling

Eduardo Ros, Christian Boucheny, Richard R. Carrillo, 2007, Biosyst..

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

A real-time spiking cerebellum model for learning robot control

Eduardo Ros, Christian Boucheny, Richard R. Carrillo, 2008, Biosyst..

Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process

Jesús Alberto Garrido, Richard R. Carrillo, Niceto R. Luque, 2014, Robotics Auton. Syst..

Adaptive cerebellar Spiking Model Embedded in the Control Loop: Context Switching and Robustness against noise

Silvia Tolu, Eduardo Ros, Jesús Alberto Garrido, 2011, Int. J. Neural Syst..

Cerebellarlike Corrective Model Inference Engine for Manipulation Tasks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Spiking Neurons Computing Platform

Alberto Prieto, Eduardo Ros, Rodrigo Agís, 2005, IWANN.

Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2017, Front. Neuroinform..

Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics

Eduardo Ros, Rodrigo Agís, Richard R. Carrillo, 2006, Neural Computation.

Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance

Eduardo Ros, Sonia Mota, Rodrigo Agís, 2007, IbPRIA.

Event-driven simulation of cerebellar granule cells

Silvia Tolu, Eduardo Ros, Thierry Nieus, 2008, Biosyst..

Reconfigurable Cyber-Physical System for Critical Infrastructure Protection in Smart Cities via Smart Video-Surveillance pdf

Francisco Barranco, Jari Hannuksela, Richard R. Carrillo, 2020, Pattern Recognit. Lett..

A cerebellar-based solution to the nondeterministic time delay problem in robotic control

Eduardo Ros, Richard R. Carrillo, Niceto R. Luque, 2021, Science Robotics.

On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell

Richard R. Carrillo, Eva M. Ortigosa, Milagros Marín, 2021, Frontiers in Neuroinformatics.

Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network

Eduardo Ros, Alessandra Pedrocchi, Egidio D'Angelo, 2014, PloS one.

Dynamics model abstraction scheme using radial basis functions

Antonio Cañas, Silvia Tolu, Mauricio Vanegas, 2012 .

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

Hardware event-driven simulation engine for spiking neural networks

Rodrigo Agís, Javier Diaz, Eduardo Ros, 2007 .

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

Mancia Anguita, Eduardo Ros, Jesús Alberto Garrido, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Event and Time Driven Hybrid Simulation of Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IWANN.

A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

Eduardo Ros, Richard R. Carrillo, Niceto R. Luque, 2018, Front. Neurosci..

Image Processing Architecture for Local Features Computation

Javier Díaz, Eduardo Ros, Sonia Mota, 2007, ARC.

Connection control implications in a distributed plasticity cerebellar model

E. Ros, N. Luque, J. Garrido, 2013, BMC Neuroscience.

Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

Richard R. Carrillo, A. Arleo, E. Ros, 2018, bioRxiv.

Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IWANN.

Real-Time System for High-Image Resolution Disparity Estimation

Alberto Prieto, Javier Díaz, Eduardo Ros, 2007, IEEE Transactions on Image Processing.